Backend Engineer Jobs in New York.
All active Backend Engineer roles based in New York.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Role
A highly scalable, highly available, real-time advertising platform is critical to supporting and growing Roku’s rapidly expanding ad business. The mission of the Ad Engineering team is to build this platform. The Ad Serving team designs, builds, deploys, and operates Roku’s Supply-Side, Ad Mediation, and Demand-Side platforms, which sit at the core of Roku’s ad monetization and are critical to the business. We are looking for a transformational leader to drive the Ad Mediation area - delivering broad strategic, architectural, and cross-functional impact across Roku’s advertising platform.
For New York Only - The estimated annual salary for this position is between $360,000 and $440,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You’ll Be Doing
- Define and drive a multi-year technical strategy, influencing architecture across multiple teams
- Set the long-term technical vision and take end-to-end ownership of the scalability, stability, and performance of Roku’s ad serving mediation platforms - systems operating at massive scale with significant revenue impact
- Shape product direction by deeply understanding Roku’s advertising business, marketplace dynamics, and long-term monetization strategy
- Lead and grow high-performing engineering teams to execute ambitious product and technical roadmaps
- Hire, grow, and retain top talent, fostering a healthy environment where individuals can do their best work
- Lead initiatives to significantly improve developer productivity by streamlining development workflows, modernizing tooling, and reducing operational load
We're Excited If You Have
- 10+ years of experience architecting and building large distributed systems, with a proven track record of leading complex systems in dynamic, high-growth environments
- Track record of building and leading high-performing senior and staff+ engineering teams
- Perform as a staff+ technologist on complex, low-latency, revenue-critical, large-scale distributed backend systems
- Excellent written and verbal communication and collaboration skills
- Proven track record of leading cross-functional teams and initiatives
- Experience fostering AI-first thinking within engineering teams to drive innovation
- Expertise in advertising is a plus
- AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about Gen AI and have explored it
#LI-SSC
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the team + role
We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
As the Engineering Manager for the Margin team, you will be at the forefront of innovation for Robinhood's essential suite of Margin offerings. This highly dynamic role involves collaboration with product, data, and other engineering teams. The features delivered by this team are among the highest leverage within the company, directly contributing to generating $100s of millions in revenue.
This role is based in our Toronto office, with in-person attendance expected at least 5 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you’ll do
- Lead and empower your team: Provide technical and strategic leadership, mentoring engineers, and nurturing a culture of collaboration and innovation.
- Drive product excellence: Work closely with product managers, designers, and other teams to define and implement a roadmap for seamless payment experiences.
- Develop new features: Build and optimize solutions for global markets, ensuring they are intuitive and reliable.
- Promote standard methodologies in engineering: Ensure high-quality code, scalability, and security in all deliverables.
What you bring
- Technical expertise: You possess a strong skillset in either backend or frontend development.
- Strong product sense: You understand user needs and can translate business goals into elegant technical solutions.
- Leadership experience: Proven ability to lead engineering teams, drive complex projects, and deliver impactful results in a fast-paced environment.
- Collaborative approach: You excel in working with diverse teams and can influence collaborators across fields.
- Global perspective: Experience in building solutions for international users is a strong plus.
Leadership expectations
Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:
- Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
- Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
- Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.
What we offer
● Challenging, high-impact work to grow your career
● Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
● Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
● Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
● Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
● Exceptional office experience with catered meals, events, and comfortable workspaces.
● Monthly commuter stipend to help offset in-office commuting costs
Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.
AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.
Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed.
Base Pay Range:
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Ready to apply?
Apply to Robinhood
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
Join us in building the future of finance
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the team and role
We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Margin team’s mission is to build and scale systems that power lending products, enabling customers to responsibly access leverage while maintaining strong risk controls and regulatory compliance. The team partners closely with product, risk, legal, and data teams to deliver reliable and transparent margin experiences for millions of users!
As an Engineering Manager, you will lead a team responsible for designing and operating critical margin infrastructure, including lending systems, risk evaluation pipelines, and account health monitoring. You will guide technical direction, support engineers in delivering high-quality systems, and ensure services meet performance, reliability, and compliance standards. You will work closely with cross-functional partners to prioritize work, translate business needs into engineering plans, and deliver measurable improvements to system stability and customer outcomes.
This role is based in our New York, NY office, with in-person attendance expected at least 5 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you'll do
- Lead and support a team of engineers building margin and lending systems, including setting goals, providing feedback, and supporting career growth
- Define and execute technical plans that improve system reliability, latency, and scalability for margin-related services
- Partner with product, risk, legal, and data teams to deliver features that meet regulatory requirements and improve customer experience
- Establish clear engineering processes, including code reviews, incident response practices, and system monitoring standards
- Use metrics such as system uptime, latency, and error rates to guide prioritization and track improvements
What you bring
- You have experience managing and developing engineering teams, including hiring, coaching, and performance management
- You have strong technical expertise in distributed systems, backend services, or financial systems
- You have experience building or supporting systems that require high reliability, data accuracy, and regulatory awareness
- You are comfortable using data and metrics to inform decisions and improve system performance
- You communicate clearly with both technical and non-technical partners and align teams around shared goals
Leadership expectations
Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:
- Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
- Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
- Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.
What we offer
- Challenging, high-impact work to grow your career
- Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
- Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
- Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Ready to apply?
Apply to Robinhood
Join us in building the future of finance.
Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
About the Team and Role
We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Strategies and Cortex team is focused on building personalized, automated investing experiences that help customers grow their wealth over time. Strategies enables investing on autopilot through advisory services, while Cortex powers intelligent insights across stocks, crypto, and portfolio experiences. The team delivers regulated financial guidance through scalable systems, including tax optimization, portfolio insights, and in-app dashboards that help customers make informed decisions!
As an Engineering Manager, you will lead a team responsible for building and scaling these customer-facing investing products. You will work closely with product and design partners to define requirements, deliver new features, and improve core systems that support personalized financial advice. This role combines hands-on technical leadership with team development, enabling you to guide architecture decisions, support engineers in their growth, and deliver new product capabilities from early concept through launch. You will play a key role in shaping both product direction and engineering practices across a rapidly evolving space!
This role is based in our Menlo Park, CA office, with in-person attendance expected 5 days per week.
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
What you’ll do
● Lead and support a team of engineers by providing technical direction, regular feedback, and clear growth plans
● Work with product and design partners to define requirements, scope milestones, and deliver features that support personalized investing experiences
● Guide the design and development of backend or full-stack systems that power advisory tools, tax workflows, and portfolio insights
● Establish engineering processes that support reliable delivery, maintainable code, and system scalability as products expand to new markets
● Review architecture decisions and help the team resolve complex technical challenges
What you bring
● 1–3 years of experience managing engineers, including supporting performance and career development
● Experience building and launching early-stage consumer products or contributing to product-focused platform systems
● Strong backend or full-stack technical background, with the ability to review system design and guide architectural decisions
● Experience working on teams delivering customer-facing software at scale, ideally in organizations with 50+ engineers
● Ability to translate business goals into clear technical plans with measurable milestones
Leadership expectations
Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:
● Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
● Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
● Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.
What we offer
● Challenging, high-impact work to grow your career
● Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
● Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
● Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
● Employer-paid life & disability insurance, fertility benefits, and mental health benefits
● Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
● Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Ready to apply?
Apply to Robinhood
Principal Software Engineer
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About Sovrn
Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business better, operate more efficiently, and make & keep more money.
- We believe in the freedom and free-flow of information.
- We believe the Open Web is the largest source of this information.
- We believe in helping Open Web businesses be and remain Independent.
Through Software products and Data solutions we help our customers:
- Understand their business better, so they can make better decisions
- Operate their business more efficiently, so they can invest in what matters most
- Make (and Keep) more money, so they control their own destiny
About the Role
We're looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core — you'll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we're also at an inflection point in how we build software, and we want this person to help lead us through it.
From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.
Languages/components/tools in our stack: Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONYX.
What you'll be doing:
- Own the design and evolution of backend systems that operate at exchange scale — high throughput, low latency, always on
- Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
- Establish and champion AI engineering practices across the team — from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
- Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
- Set standards for how we evaluate, trust, and operate AI-powered systems in production — including observability, fallback behavior, and model governance
- Drive technical standards, design reviews, and engineering best practices across a senior team
- Partner with product, data science, and platform teams to ship end-to-end
- Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
- Mentor and level up engineers through code review, design collaboration, and hands-on guidance
A successful candidate will have:
- 10+ years of software engineering experience, with a strong backend track record
- 5+ years working specifically in adtech infrastructure — SSP, DSP, exchange, or ad server environments
- Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
- Experience building and operating systems at exchange scale — high QPS, strict latency budgets, fault tolerance
- Demonstrated experience leading AI or agentic engineering efforts in production environments — not just experimentation, but shipped, operated, and iterated on
- Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
- Strong distributed systems fundamentals: messaging, caching, service architecture, observability
- Comfort driving technical decisions in ambiguous, fast-moving environments
- A point of view on where AI is and isn't the right tool — and the credibility to make that case
Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Hybrid #LI-Remote
We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.
Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking
Compensation and Benefits
The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.
Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.
Job Posting
Applications will be accepted until July 1, 2026.
Equal Opportunity Employer
Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.
Recruitment Agencies
Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to SovrnPrincipal Data Engineer
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About Sovrn
Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business better, operate more efficiently, and make & keep more money.
- We believe in the freedom and free-flow of information.
- We believe the Open Web is the largest source of this information.
- We believe in helping Open Web businesses be and remain Independent.
Through Software products and Data solutions we help our customers:
- Understand their business better, so they can make better decisions
- Operate their business more efficiently, so they can invest in what matters most
- Make (and Keep) more money, so they control their own destiny
About the Role
We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.
From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.
Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS
What you'll be doing:
Data Platform & Architecture
- Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
- Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
- Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
- Research, implement, and evolve methods to process and democratize data across the organization
- Drive technical standards, design reviews, and engineering best practices across a senior team
- Partner with product, data science, and platform teams to ship end-to-end
AI & Agentic Engineering Leadership
- Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
- Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
- Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
- Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
- Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
Collaboration & Mentorship
- Provide domain expertise across the organization to enable business growth through data services and data models
- Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
- Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
- Operate with high autonomy across ambiguous, high-impact problems
A successful candidate will have:
- 10+ years of software engineering experience, with a strong data engineering and backend track record
- 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
- Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
- Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
- Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
- Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
- Experience with data security and compliance (PII, CCPA, GDPR, etc.)
- Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
- Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
- Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
- Understanding of DevOps and SRE practices
- Comfort driving technical decisions in ambiguous, fast-moving environments
- A point of view on where AI is and isn’t the right too, and the credibility to make that case
Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid
We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.
Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking
Compensation and Benefits
The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.
Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.
Job Posting
Applications will be accepted until July 1, 2026.
Equal Opportunity Employer
Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.
Recruitment Agencies
Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to SovrnWho we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.
At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.
Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.
What you’ll do
As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.
Responsibilities
- Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
- Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
- Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
- Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
- Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
- Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products).
- Proven track record of delivering pragmatic solutions that accelerate business growth
- Ability to adjust conversations from high-level discussions to detailed coding
- Thrives on a high level of autonomy and responsibility
- Clear and persuasive writing and in-person communication
- Strong problem-solving skills, critical thinking, determination, and a growth mindset
- Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
- Has experience in a range of software languages and frameworks. Examples of what we work with include:
- Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
- Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal,
- Others: Mongo, Splunk, Prometheus
Preferred qualifications
- Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
- Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
- Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
- Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
- Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
- Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge
Why Stripe Identity
- The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
- The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
- You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
- The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.
Ready to apply?
Apply to Stripe
Machine Learning Engineer, Payments ML Accelerator
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About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Payments ML Accelerator team is developing foundational ML capabilities that drive innovation across Stripe's payment products. We build deep learning models that tackle Stripe's most complex payment challenges - from fraud detection to authorization optimization - and deliver measurable business impact. Our work combines advanced ML techniques with large-scale data infrastructure to enable rapid experimentation and seamless deployment of AI-powered solutions. As a central ML innovation hub, we work closely with product teams to identify high-impact opportunities and implement scalable solutions that can be leveraged across the organization.
What you'll do:
As a machine learning engineer on our team, you’ll develop advanced ML solutions that directly impact Stripe’s payment products and core business metrics. Your role will span the entire ML lifecycle, from research and experimentation to production deployment.
You’ll work on high-leverage problems that require innovation in modeling, optimization, and system design. Where possible, you’ll look beyond point solutions - designing approaches and architectures that are reusable, extensible, and serve as foundation models for future capabilities.
The role demands strong technical judgment, deep knowledge of modern ML methods, and the ability to translate ideas into systems that deliver measurable impact. You’ll partner with product and engineering teams to identify opportunities where ML can move the needle today while setting Stripe up for long-term success.
Responsibilities:
- Design and deploy deep learning architectures and foundation models to address problems across key payment entities such as merchants, issuers, or customers
- Identify high-impact opportunities, and drive the long-term ML roadmap through well-scoped high-leverage initiatives
- Architect generalizable ML workflows to enable rapid scaling and optimized online performance
- Deploy ML models online and ensure operational stability
- Experiment with advanced ML solutions in the industry and ideate on product applications
- Explore cutting-edge ML techniques and evaluate their potential to solve business problems
- Work closely with ML infrastructure teams to shape new platform capabilities
Who you are:
We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.
Minimum requirements
- Minimum 7 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production
- Proficient in Python, Scala, and Spark
- Proficient in deep learning and LLM/foundation models
Preferred qualifications
- MS/PhD degree in quantitative field or ML/AI (e.g. computer science, math, physics, statistics)
- Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis
- Experience evaluating niche and upcoming ML solutions
Ready to apply?
Apply to Stripe
Machine Learning Engineer, Stripe Assistant
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Stripe Assistant team is transforming how users interact with Stripe by building an intelligent and proactive assistant that not only answers users’ queries but efficiently resolves issues and provides valuable business insights. We leverage LLMs and agentic systems to elevate the user experience across Stripe—from the dashboard to support surfaces—and we enable other teams to build and integrate their AI agents on our platform. We’re evolving from a helpful support tool to a trusted pilot that anticipates, optimizes, and executes on behalf of our users.
What you’ll do
As a Senior Machine Learning Engineer on the Stripe Assistant team, you’ll own the end-to-end ML and agent architecture that makes Stripe Assistant safe, reliable, and deeply useful. You’ll set the strategy for how the Assistant executes high-trust actions, delivers accurate analytical answers across Stripe and the broader web, orchestrates capabilities across many tools and agents, and grounds responses in authoritative Stripe and user data—so users can resolve issues quickly and confidently.
You’ll drive conversation continuity and personalization across surfaces, evolve the Assistant into a proactive partner that anticipates user needs, and deepen its presence in the dashboard to streamline critical workflows. You’ll establish rigorous evaluation and SLOs and deliver step‑change improvements in quality, latency, cost, and availability—paving the way for configurable levels of autonomy and, ultimately, a dependable operating layer over a merchant’s Stripe account.
Responsibilities
Our team operates fluidly and here are some problems you may tackle:
- Establish trustworthy, human-in-the-loop execution for high-trust “write” actions—prioritizing user control, transparency, accountability, and auditability so customers can delegate with confidence.
- Define and evolve the Assistant’s capability and governance model across hundreds of tools and agents, balancing power, permissions, and consistency at scale.
- Raise answer quality and usefulness by grounding in authoritative Stripe knowledge and live user data, building cross-surface memory and personalization, and making the Assistant proactive and present in the dashboard.
- Explore and apply optimal machine learning methods to improve Stripe Assistant’s overall performance, including but not limited to fine-tuning LLMs with RLHF, synthetic data generation, optimizing RAG pipelines via domain‑specific embedding and retriever fine‑tuning, and automatic prompt tuning, etc.
- Make quality and reliability a product: set and meet SLOs, build rigorous evaluation and benchmarking loops, and drive sustained improvements in latency, cost, and availability.
- Lead as a tech lead: mentor and grow engineers, uphold high bars for code quality, security, observability, and operational rigor, and align cross‑functionally to ship safely and fast.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 5+ years in AI/ML and backend engineering.
- Applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration, fine-tuning, code generation, evaluations, etc.
- Proficient in Python (Ruby is a plus); strong distributed systems fundamentals.
- Experience working closely with product management, design, other engineers, and other cross-functional partners.
Preferred qualifications
- Experience operating ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
- Experience building products where AI/ML is core; as well as balancing short-term product priorities with long-term AI/ML improvements.
- Track record building ML platforms, especially those that enable multiple teams to collaborate together.
- Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.
Join us to build a trustworthy, proactive AI operating layer for every Stripe merchant—advancing safety, reliability, and insight at global scale. If you’re ready to help take Stripe Assistant from copilot to full autopilot and shape how businesses connect with Stripe, we’d love to hear from you.
Ready to apply?
Apply to Stripe
Backend Engineer, AI Security
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
AI is moving fast and Stripe is moving fast to adopt it. But we need to make sure we do all of this safely, and for most of these tools enterprise-grade security isn't just available off the shelf. That's where the AI security team comes in - we are responsible for building and partnering to create the right security primitives to enable Stripe to move fast safely.
This is a team that will be working in the low level components of our AI stack so both infrastructure and security experience are pluses. This space is moving fast so being comfortable with ambiguity and changes in priority are a must.
This is a foundational role — you'd be the first engineer on the team.
What you’ll do
Engineers on this team will do a mixture of partnering and advising with teams building AI infrastructure and products, and building security infrastructure primitives for AI.
One of our major focuses will be building a security tooling layer that sits in the inference path, providing detection and protection against AI specific threats like prompt injection, jailbreaks, and tool misuse.
Responsibilities
- Build security frameworks integrated with our core AI infrastructure
- Design and implement defenses against AI specific threats like prompt injection and jailbreaks
- Collaborate with other engineering teams to ensure Stripe's AI infrastructure and products are built securely
- Support other engineering teams in integrating security primitives
- Uphold our high engineering standards and improve our codebase and processes
- Design and build systems that help define the state of the art for AI security
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 5+ years of software development experience
- Experience independently designing and developing medium to large projects
- Experience working collaboratively across multiple engineering teams
- Experience writing high quality code in a major programming language
- Ability to drive clear next steps when working in an ambiguous environment
- Ability to think creatively and reason clearly in a complex problem domain
Preferred qualifications
- Experience developing, deploying, and maintaining reliable infrastructure systems
- Experience in security engineering
- Experience building AI agents or LLM-based systems
Ready to apply?
Apply to Stripe
Engineering Manager, GTM Engineering
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Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.
Where you’ll work
This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
- Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
- Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
- Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
- Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Experience architecting and building growth surfaces or marketing engineering systems.
- Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
- Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
- A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.
Bonus points
- Experience managing remote or distributed engineering teams.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 CAD - $300,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Engineering Manager, GTM Engineering
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.
Where you’ll work
This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
- Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
- Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
- Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
- Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Experience architecting and building growth surfaces or marketing engineering systems.
- Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
- Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
- A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.
Bonus points
- Experience managing remote or distributed engineering teams.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Engineering Manager, GTM Engineering
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.
Where you’ll work
This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
- Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
- Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
- Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
- Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Experience architecting and building growth surfaces or marketing engineering systems.
- Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
- Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
- A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.
Bonus points
- Experience managing remote or distributed engineering teams.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Engineering Manager, GTM Engineering
Share this job
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead the engineering team responsible for Brex’s GTM Engineering surfaces, enabling our growth engine across Marketing, Sales, and self-serve funnels. This role focuses on building and optimizing our marketing website (Brex.com), GTM applications, top-of-funnel experiences, and AI-powered systems that increase efficiency, reduce CAC, and improve sales and marketing effectiveness.
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Lead and mentor a high-performing team of product engineers, fostering their career development through coaching, feedback, and hands-on guidance.
- Drive the architectural vision, technical roadmap, and project execution for Brex.com, GTM applications, and top-of-funnel growth systems, ensuring scalability, performance, and security.
- Champion and integrate AI-native solutions within our Marketing, Sales, and Operations workflows to drive efficiency and unlock new capabilities.
- Operate at all levels, guiding your team through complex technical challenges while staying close to the code and contributing to design.
- Partner with stakeholders across Marketing, Sales, and Growth, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and conversion rates.
- Align ad-hoc requests to broader business strategy, ensuring the team is focused on the most impactful work and confidently declining projects that are not strategically aligned.
- Own the operational excellence of your team, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.
- Establish and enforce engineering best practices for GTM applications and growth surfaces, including CI/CD, source control, code quality, observability, and system governance.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Experience architecting and building growth surfaces or marketing engineering systems.
- Strong frontend, data, and backend technical fundamentals, with experience in modern frameworks.
- Experience with GTM systems, marketing automation tools, experimentation platforms, or analytics instrumentation.
- Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners in Sales and Marketing at all levels.
- A growth-hacking, AI-native mindset with a proven ability to design and execute GTM strategies that drive meaningful revenue impact.
Bonus points
- Experience managing remote or distributed engineering teams.
- Experience with B2B growth.
- You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
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Machine Learning Engineer
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About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
- Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
- Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
- Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Position Summary:
Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer. We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.
In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.
Responsibilities:
- Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
- Develop and maintain backend services using Python, focusing on AI-driven applications.
- Design and implement APIs for seamless integration with AI models and services.
- Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development
- Participate in code reviews, testing, and quality assurance processes.
- Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
- Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
- Document and communicate development processes and implementation details with peers and supervisors
- Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus.
- Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.
- Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
- Proficiency in Python and familiarity with ML libraries such as PyTorch.
- Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus.
- Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
- The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
- Good written communication skills that enable collaboration in a remote environment.
This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
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What You’ll Do
As a Senior Software Engineer on the Identity & Access Management (IAM) team, you will play a key role in designing, building, scaling, and maintaining CoreWeave’s rapidly expanding IAM platform. You will leverage your experience in distributed systems to design, extend, and harden a platform that secures our high-performance cloud infrastructure. You’ll be working at the intersection of design, developer experience, and platform architecture to help scale our services to the next order of magnitude. Here are just a few of the interesting and exciting things you’ll be doing:
- Architect and build high-scale, low-latency distributed systems that power CoreWeave’s identity, authentication and authorization services
- Design and implement customer-facing and internal APIs and backend services that underpin our IAM platform
- Optimize system performance to ensure that services remain highly available and performant under unpredictable load patterns
- Collaborate cross-functionally with stakeholders across the business, including product managers, designers and TPMs, to shape the team’s strategy and roadmap
- Drive operational excellence by participating in on-call rotations and building automated tooling for monitoring, alerting, and incident response
- Demonstrate and shape best-practices in software engineering by embracing AI for development, insisting on maintainable and testable code, and participating in thorough code reviews
- Work with incredible people in a supportive, iterative, high-trust, agile environment
Who You Are
- Experience: Minimum of 5 years of professional experience developing, operating and maintaining backend services in a production environment
- Programming: Strong proficiency developing software in one or more of our preferred languages (Go, TypeScript, Python)
- Distributed systems: Knowledge of microservices architecture, RESTful/gRPC API design, and asynchronous messaging patterns
- Observability: Fluency with best practices in observability (logging, metrics, dashboards, alerting)
- Database design: Solid understanding of relational databases, schema design, and SQL
- Testing and quality: Strong commitment to automated testing (unit, integration, and E2E) and CI/CD pipelines
- Ownership: Demonstrated ownership of code quality, performance, and maintainability from development through production
- Security: Experience with authentication, authorization and security best practices
- Problem solving: A proven track record of debugging complex performance bottlenecks and distributed system failures in a production environment
- Communication: Excellent verbal and written communication skills, able to work effectively with both technical and non-technical team members
Preferred
- Experience with Kubernetes and a conceptual understanding of its major components.
- Experience building reliable and scalable platform services that process large amounts of data.
- Experience developing identity products on top of standards including OIDC, OAuth2.0, SAML, and JWT
- Experience managing cloud infrastructure (AWS, GCP, etc.)
- Familiarity with Infrastructure-as-Code tools and practices
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
- You love to solve complex problems and build high-scale, low-latency distributed systems.
- You’re curious about how to evolve cloud platforms and scale infrastructure globally for the next generation of AI workloads.
- You’re an expert in one or more preferred programming languages like Go, TypeScript, or Python, and have deep technical knowledge of distributed systems.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
What We Offer
The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
California Consumer Privacy Act - California applicants only
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Ready to apply?
Apply to CoreWeave
Principal Engineer, Security Products — Cryptography and Key Lifecycle Management
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The Security Products organization at CoreWeave builds the identity, encryption, and self-managed security integrations that protect AI workloads and data across our cloud platform. If you are passionate about building foundational security primitives that enable enterprises and the top AI labs in the world to deploy regulated and security‑sensitive workloads at extreme scale, this is the team to join!
About the role
CoreWeave is seeking a Staff or Principal Engineer for our Security Products team to lead the technical direction and implementation of encryption and key lifecycle management In this role, you’ll design and evolve the key lifecycle management, encryption control planes, algorithm/library selection, and systems integrations that allow CoreWeave customers to deploy sensitive, high security AI workloads and data. You’ll partner closely with teams across CoreWeave to develop customer-driven cryptography technology. Your day‑to‑day will blend hands‑on system design and coding with cross‑team technical leadership, design reviews, and roadmap shaping for Security Products.
In this role, you will:
- Lead the design and evolution of encryption and key lifecycle management products.
- Manage encryption and cryptography technology development for services within our Cloud Platform, particularly those for high security and highly regulated customers.
- Design and build deep integrations between our Cloud Platform and external key sources (eg, HashiCorp Vault, AWS KMS, HSMs).
- Collaborate with other product engineering teams to support the safe use of multicloud key management technology.
- Partner with IAM to define unified authorization patterns and policy models for key management APIs with consistent semantics across the resource hierarchy.
- Establish SLIs / SLOs for Remote Key Encryption (RKE) and related services, including availability, latency, and durability guarantees for key retrieval and encryption operations.
- Partner with the Security Engineering team on threat modeling and corporate strategy to enable the most sensitive AI workloads in the world to be deployed on CoreWeave's infrastructure.
- Author and review detailed technical designs and RFCs for new RKE capabilities, mentor other engineers on the team, and provide technical leadership across Security Products and adjacent organizations.
Who You Are
- 8+ years of experience building and operating distributed backend systems in production, including ownership of reliability and security outcomes for critical services.
- Deep experience with encryption at rest and key management systems, including envelope encryption patterns, key hierarchies and secure key lifecycle management.
- Hands-on experience integrating with at least one major KMS or secrets manager (e.g., AWS KMS, HashiCorp Vault, Azure Key Vault, GCP KMS, HSMs), including designing APIs and workflows around those systems.
- Strong proficiency in a systems programming language such as Go (preferred) or Rust, with experience building networked services (gRPC / REST) in a Linux / Kubernetes environment.
- Solid understanding of applied cryptography concepts relevant to data‑at‑rest protection (AES‑GCM/CTR, key wrapping, KDFs, randomness requirements, envelope encryption, and key separation) with the ability to reason about threat models and failure modes with Security partners.
- Experience designing and operating multi‑tenant services with strong isolation and authorization semantics across customers and internal tenants.
- Demonstrated track record of leading cross‑team technical initiatives, driving projects from problem statement through rollout, alignment, and operational readiness.
- Strong operational experience defining SLIs / SLOs, building dashboards and alerts, and partnering with SRE / Production Engineering on incident response and post‑incident improvement.
- Excellent written and verbal communication skills with the ability to produce clear, opinionated design docs that influence Senior Engineers, PMs, and Security stakeholders through context setting and sound technical judgment
Preferred (if applicable)
- Prior experience designing or implementing remote or externalized key management for cloud storage, databases, or filesystems (e.g., BYOK/BYOKMS, customer‑managed keys, envelope encryption for S3‑like object storage).
- Experience with hardware‑backed key management (HSMs) and cryptographic compliance regimes (FIPS 140‑2/3, PCI, HIPAA, FedRAMP Moderate+, or similar) and how they shape system design.
- Familiarity with IAM policy models (RBAC / ABAC, OpenFGA, OPA/Rego, etc.) and how to integrate fine‑grained authorization into security‑sensitive APIs.
- Experience extending encryption and key management across multiple storage domains (object storage, block/file storage, databases, control plane state like etcd) in a coherent way.
- Background working in security‑sensitive or regulated environments where auditability, segregation of duties, and key custody requirements are critical.
- Contributions to open source cryptography, security tooling, or KMS/client libraries.
- Previous US/NATO federal cryptographic security experience is ideal but not necessary.
Wondering if you’re a good fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
- You care deeply about getting the cryptographic and operational details right, and you’re comfortable saying “no” to shortcuts that weaken security or key custody guarantees.
- You’re excited by the challenge of building foundational security primitives that other product teams and large enterprises will build on for years.
- You enjoy working at the intersection between Platform, Storage, IAM, and Security Engineering, and you can translate between those domains without losing the plot.
- You’re skilled at turning complex requirements for highly regulated customers into simple, reliable, well‑documented APIs and workflows.
- You’re comfortable operating in a fast‑moving environment, iterating quickly while still holding a high bar for design review, testing, and safe rollout of security‑sensitive changes.
The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
What We Offer
The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
California Consumer Privacy Act - California applicants only
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Ready to apply?
Apply to CoreWeave
Our Mission
Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.
Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.
We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.
*Please note, we are open to remote candidates for this role.
Zocdoc’s most important asset is our people. As a Senior Software Engineer on the Scheduling team, you’ll play a meaningful role in building the best healthcare journey for our patients and providers possible. You will help develop experiences not just in Zocdoc, but integrate with other ecosystems to reach patients where they are.
At our best, we empower patients to make informed healthcare decisions with confidence while driving a significant, high-visibility impact on Zocdoc’s business. You’ll tackle complex technical challenges, simplifying an array of complex domains. These domains are across the tech stack; from our modern backend, to frontend experiences that are deployed on Zocdoc and on client’s own interfaces.. You will ensure scalability, resilience, and user experience are at the forefront of everything we build.
As a Senior Software Engineer, you’ll design, build, and optimize Zocdoc’s applications, ensuring they are scalable, secure, and intuitive. You’ll collaborate closely with product, design, and backend teams, shaping the future of our scheduling experience while mentoring other engineers and championing best practices across the organization.
You’ll enjoy this role if you are…
- Personally motivated by building user facing applications that are changing the healthcare experience for patients
- A product-driven engineer who loves working in a highly collaborative and supportive environment
- Motivated by building products that make healthcare easier
- Passionate about building diverse and inclusive teams and culture
- Excited to work as part of a cross functional development team.
Your day to day is…
- Making a meaningful impact as you participate in all phases of product development, including the design, development, testing, and release of provider and patient-facing features
- Manage deadlines and navigate ambiguity.
- Shipping scalable production code across the development stack
- Building and fostering relationships with our agile team of engineers, product managers, and designers
- Mentoring your peers, with the notion that helping others means learning and growing yourself
- Promote new technologies and new processes to improve the way we work.
- Working with cutting edge GenAI tools and technology
You’ll be successful in this role if you have…
- Meaningful (5+ years) experience in full stack software development
- A results oriented mindset. You are always striving to deliver quickly and reliably.
- The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity
- Passion for technology and the ability to think critically about performance, scalability, and reliability of software
- A compassionate but consultative, and confident approach to working with Product partners to deliver high quality products to our patients and providers.
- A strong understanding of system design and architecture
- The mentality of an entrepreneur/owner and a strong bias to action.
- Superb communication skills! You believe in keeping all of your stakeholders in the loop and know that multiple mediums of communication are the key to success
- Passion for technology and the ability to think critically about performance, scalability, and reliability of software
- Humility. You believe in treating all people with dignity and respect, regardless of title or tenure
- An unrelenting desire to build more equitable, inclusive and diverse workplaces. You view this role as an opportunity to create positive change
Benefits:
- Flexible, hybrid work environment at our convenient Soho location
- Unlimited Vacation
- 100% paid employee health benefit options (including medical, dental, and vision)
- Commuter Benefits
- 401(k) with employer funded match
- Corporate wellness programs with Headspace and Peloton
- Sabbatical leave (for employees with 5+ years of service)
- Competitive paid parental leave and fertility/family planning reimbursement
- Cell phone reimbursement
- Catered lunch everyday along with beverages and snacks
- Employee Resource Groups and ZocClubs to promote shared community and belonging
- Great Place to Work Certified
About us
Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish.
Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.
Job Applicant Privacy Notice
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Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase.
AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive - not just available - will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software.
You’ll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats.
Some of the problems we’ll be working on include:
-
Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc
-
Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc
-
Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use
-
Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application
- Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
About You
You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.
Must have
- Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly
- Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)
- Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output
- Track record of building developer tools or infrastructure that other engineers actually use
- Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code
Nice to have
- Experience building or contributing to MCP servers or similar agent-tooling integrations
- Background in developer productivity, platform engineering, or developer experience roles
- Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL
- You've set up sandboxed or containerized development environments at scale
Interview Process
Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.
- Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
- Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
- System Design Screen [45m]: Designing a data processing feature end-to-end
- AI Skills Interview [60m]: We’ll dive into how you leverage AI and how you’ve helped others do the same
- Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles
- System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
Software Engineer, Customer Studio Backend
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About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
Customer Studio is Hightouch’s second major product that provides a purpose-built no-code suite of features that enables anyone, regardless of their SQL experience, to activate data directly from their warehouse. The product has become an essential part of the day-to-day operations for marketing and growth teams to build and measure audiences and campaigns, and it also serves as part of the underlying infrastructure that powers our agentic marketing workflows. The team blends product and customer-first thinking with challenges at high data scale, helping us reimagine marketing in an AI-native world.
We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend and distributed systems and think holistically about architecture, scalability, maintainability, and reliability. We also are looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.
Some of the problems we’ll be working on include:
- Data Warehouse Performance: We’re consistently pushing the limits of what data warehouses can handle in terms of speed, performance, and interactivity. We explore optimizations generally (e.g. optimizing queries, storing pre-computed state), as well as investigate warehouse-specific improvements.
- Analytics and Experimentation: How can Hightouch help customers build segments and decide what data they want to sync? How can we facilitate experimentation to downstream tools, including tracking the performance of different audiences?
- Real-time Audience Syncing: Our users are always interested in faster syncing and fresher data. As warehouses become more real-time and adopt technologies like CDC, we’re excited to explore real-time audience computation and syncing.
- Generative AI: We’re continuously working on making the user experience of acting on data more seamless, and are optimistic generative AI can enhance user workflows.
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
Interview Process
Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.
- Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
- System Design Screen [45m]: Designing a data processing feature end-to-end.
- Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
- System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
#LI-DNI
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.
We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.
Some of the problems we’ll be working on include:
- Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly
- Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues
- Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth
- Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions
- Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
About You
You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.
You have experience and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. This experience can take different forms:
- You’ve built syncing engines that process and move terabytes of data per day in a scalable way
- You’ve created event collection or data streaming services that power company critical systems
- You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly
- You have relevant skills and are a fast learner who is excited to take on the challenges we face
Interview Process
Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.
- Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
- System Design Screen [45m]: Designing a data processing feature end-to-end.
- Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
- System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.
#LI-DNP
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
We are looking for a developer productivity engineer to take responsibility for our monorepo and the “path to production” for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you’ll spend significant time writing and delivering features to gain empathy for the current dev flow.
We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.
Some of the problems we’ll be working on include:
- Own the build: You’ll be the single threaded owner for the build/test/deploy of our software and how each team fits into it
- Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns
- Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to “hold up a mirror” to our dev teams, helping each team understand where they have gaps
- Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base
- Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
About You
You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.
You’ve driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms:
- You’ve been a member of a developer-productivity team/function for an outstanding development team
- You’ve organically become “the build person” at a fast-growing startup and helped bring order to chaos
- You’ve personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc)
In addition to any of the above, we’re looking for someone who can dive into feature code, including complicated backend code, as needed.
Interview Process
Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.
- Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
- Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
- System Design Screen: Designing a data processing feature end-to-end.
- Developer Productivity Skills Interview: We’ll dive into your experience making teams productive through a discussion of past projects and tooling you've used.
- Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
- System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
In the last 12-18 months, Hightouch has been adopted by larger and larger customers and enterprises. These enterprises have both high data scale as well as complex organizations with many individuals and teams using Hightouch on a daily basis. The Control Plane team focuses on building user-friendly but powerful tools and products for enterprises to efficiently onboard onto Hightouch and manage and scale their Hightouch deployments.
We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend, distributed systems, and asynchronous workflows and think holistically about architecture, scalability, maintainability, and reliability. We are also looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.
Some of the problems we’ll be working on include:
- Roles, Permissions, and Access Control: We have a flexible and powerful access control framework that allows enterprise admins to configure the right level of permissions for different groups of users and teams within their company. As Hightouch expands our product lines, the Control Plane team will also adapt and extend our access control capabilities to support that growth.
- Change Management: When a customer’s underlying data model or data warehouse changes, this can have downstream impact on their Customer Studio schema, audiences, and other syncs and data pipelines. What tools can we build for admins to better manage these types of changes at scale?
- Data Warehouse Performance and Costs: As customers continue to adopt Hightouch within their organizations and their usage of Hightouch grows, they’ll drive more warehouse activity and compute from Hightouch. How can we help admins better understand and optimize warehouse performance and costs as a result of Hightouch activity?
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $260,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
Interview Process
Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.
- Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
- System Design Screen [60m]: Designing a data processing feature end-to-end.
- Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
- System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
We're looking for a front-end focused full stack product engineer to join our fast-growing engineering team, where you’ll help develop delightful and intuitive interfaces that enable non-technical users to easily engage with advanced features.
At Hightouch, full stack engineers work closely with design, product managers, solutions engineers, and customers to understand problems and build polished and intuitive features.
On a typical day, you will be:
- Architecting and building features end-to-end for a new generation of marketing and growth products
- Collaborating closely with customers and cross-functional partners - designers, product managers - to understand real-world behavior
- Working alongside ML engineers to surface insights that empower marketers to make confident decisions
Our ideal engineer is someone who has proven experience working closely with product teams to build user interfaces from zero to one. You should be able to independently lead and architect complex frontend systems, and be proficient in building CRUD applications and with a solid understanding of backend API design and data models.
Our frontend is built in React and Typescript, and our backend is also built on Typescript with some elements of Go.
The salary range for this role is $180,000 - $270,000 USD per year, fully remote and location-independent. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
Interview Process
- Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
- Frontend Technical Screen [60m]: You will work together with one of our frontend engineers to build a component that is used commonly throughout the Hightouch app.
- Full Stack Interview [90m]: This interview is a design-focused session where you'll work collaboratively with the interviewer to think through real product and engineering problems.
- Hiring Manager Interview [30m]: Chat with the hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.
#LI-DNI
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
About the Opportunity
As a Software Engineering Intern on our growing EV team, you will design and develop frontend or backend services that support residential EV programs, while maintaining a strong security posture across our infrastructure. Working closely with leading EV
providers such as Tesla and GM, you will improve grid flexibility and enhance the value of our programs.
Partnering with other engineers, you will build new services and products in EnergyHub’s EV platform, engaging homeowners and OEMs on initiatives that unlock the full potential of EVs and deliver meaningful grid impact.
This role can encompass several areas including data monitoring, internal tooling and reporting, integrations with EV OEMs or other third party services, and new features to improve the quality and breadth of our EV solutions. Ideally, we would love our intern to be with us from July to December.
Main Responsibilities
- Develop Kotlin-based or Ruby on Rails-based solutions, working towards well-structured, high-quality code with automated testing
- Develop front-end solutions supporting EV drivers and/or utilities in React
- Collaborate cross-functionally with product managers, internal engineering teams, and stakeholders to contribute to high-impact projects.
- Work within real-world constraints to develop creative solutions that work towards platform flexibility and scalability.
- Contribute to best practices for CI/CD, data modeling, and iterative development (e.g., PoCs, rapid prototyping, milestone-based execution).
- Actively participate in a strong technical culture of respect, open communication, and collaboration.
- Write and maintain technical documentation
- Drive and embody the “Dev Owns Quality” culture
- Other duties as assigned
Key Skills and Experience
- Eager to learn new technologies and enthusiastic to be a full-stack engineer with a focus on application development, integrations and internal tooling
- Experience developing the full SDLC
- Experience with Java, Kotlin and/or Ruby on Rails
- Experience with React
- Strong problem-solving skills, capable of balancing multiple use cases while enabling flexibility
- Strong communication skills, with an emphasis on cross-functional collaboration
and working on challenging technical problems
Preferred Skills and Experience
- Extensive data engineering experience is a huge plus, including addressing data quality issues, building data pipelines, monitoring and alerting
- Experience with relational databases and SQL is a plus
- Experience with S3, MongoDB, AWS, DBT, Snowflake a plus
- Experience with web services and RESTful APIs
- Familiarity with CI/CD pipelines and modern software development practices
- Proven ability to deliver high-quality, iterative value while maintaining execution speed
- Knowledge of modern security best practices, authentication/authorization frameworks, and system/API hardening
Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.
Why work for EnergyHub?
- Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
- Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
- Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.
- Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.
About EnergyHub
EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power.
To learn more, visit energyhub.com.
EnergyHub is an Equal Opportunity Employer
EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact accommodations.apply@energyhub.net.
In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.
Notice To Third Party Agencies:
EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.
The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package.
Ready to apply?
Apply to EnergyHubWho We Are
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo.
The Role
We are seeking a Software Engineer to join the Precompute team within our Core Product Engineering organization.
Our team is focused on building high-performance data and compute infrastructure that powers large-scale analytics, APIs, and downstream product experiences for our global customer base of Financial Advisors and Wealth Managers.
We partner closely with a world-class team of engineers, designers, and product managers, and put system performance, scalability, and reliability at the forefront of every initiative.
Our platform is rapidly evolving to support increasingly complex workloads, and as we modernize our architecture, we are enabling new capabilities through high-throughput data pipelines, efficient compute primitives, and flexible APIs. We pride ourselves on delivering robust, scalable, and highly performant systems.
The Precompute team builds and operates the foundational computation layer that accelerates financial analytics across the platform, with a strong emphasis on vectorisation, parallelism, and distributed processing. Our systems form the backbone of how data is processed and served at scale.
Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.
The current range for this role is $107,000 - $168,000 (base salary) + bonus + equity + benefits.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.
Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.
What You’ll Do
Work with teams across the organisation to:
- Develop and implement core computation and data processing capabilities that align with our product vision within a multi-functional team
- Enhance the performance and scalability of our computation platform, processing large volumes of financial data efficiently across distributed systems
- Develop systems that leverage vectorised execution, parallelism, and elastic infrastructure to optimise throughput and latency
Who You Are
- Comfortable working independently, with a bias for action
- Thrives in ambiguous spaces where there isn’t a clear solution
- Enjoys digging into new problems and unfamiliar codebases
- Excels at written and verbal communication
- 3+ years of backend software engineering experience
- Proficiency in developing with server-side OO languages like Java
- Proficiency with Linux
- Familiarity with infrastructure components such as CI/CD, monitoring, logging, containers, Kubernetes, and infrastructure-as-code
- Familiarity with HTTP, developing REST and web APIs
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.
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Senior Staff Software Engineer, Crypto
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Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The Role
We are seeking a Senior Staff Engineer to join our team. SoFi is building out a new team to develop crypto products and services for our members. Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.
On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.
At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.
Key responsibilities
- Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
- Debug and resolve complex systems issues in high-scale, real-time services.
- Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
- Shape the technical architecture across SoFi’s crypto stack — wallets, custody, trading, and beyond.
- Drive new ideas and technical strategies that push our crypto offerings forward.
- Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
- Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
- Collaborate across teams to deliver reusable crypto services and integrate with SoFi’s broader platform.
- Mentor engineers and contribute to a culture of technical growth and curiosity.
- Lead discussions, reviews, and decisions across teams and with senior technical leadership.
- Make smart, pragmatic decisions that balance speed and quality.
- Stay curious — constantly learning new tools, protocols, and patterns in the evolving crypto space.
- Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.
What you'll need
- 8+ years programming experience, with significant experience in modern day languages and familiarity with AI tools.
- Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases and mobile/web applications
- Expertise with Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases
- Deep understanding of code release, deployment orchestration / rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.
- Experience with public cloud infrastructure
- Excellent verbal and written communication skills and working with stakeholders across disciplines
- Understanding of blockchain fundamentals and distributed ledger technologies
- Familiarity with digital assets across major chains (Bitcoin, Etherium, …)
- Hands-on experience with smart contracts is a plus
- Familiarity with custody, settlement, and clearing of crypto transactions
- Experience with security and best practices for wallet management
- Exposure to crypto trading platforms, market data, and DeFi protocols
- Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)
- Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions
- Prior work in or collaboration with crypto-native companies or fintechs
- Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
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Senior Forward Deployed Engineer
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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: NYC
About the Role
Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.
As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.
You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.
This role is ideal for engineers who want to:
- Stay deeply technical
- Work on real production systems
- Influence product direction
- Build long-term partnerships with world-class engineering teams
Responsibilities
- Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
- Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
- Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
- Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
- Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
- Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
- Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
- Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
- On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.
Requirements
- Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
- Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
- Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
- Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
- AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
- Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
- Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
- High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
- Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.
Nice to Have
- Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
- Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
- A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.
Compensation
Compensation may be adjusted depending on work location.
- For NYC based hires: Estimated annual salary of $185,000 - $254,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
- Medical/Rx Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Accounts
- Commuter Spending Accounts
- Fertility & Family Forming Benefits
- On-demand mental health support and Employee Assistance Program
- Global Travel Medical Insurance
Financial Benefits
- Short and Long Term Disability Insurance
- Life & Accident Insurance
- 401(k) Retirement Savings Plan
- Employee Stock Participation Plan
Time Off
- Flexible paid time off covering vacation and sick leave
- Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
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Field Engineering Manager, Public Sector
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Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government.
Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You’ll play a critical role in delivering technical solutions—all while helping your team grow and execute.
You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs.
Day to day:
- 50% Field engineering - customer engagement, technical development and delivery
- 50% Managing a growing team
You will:
- Recruit a high-performing engineering team.
- Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects.
- Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs.
- Work directly with customers to understand their problems and translate those into custom workflows within Scale’s platform.
- Be open to ~25% travel or relocation to a key customer geographic location.
- Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
- Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
- Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
- Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation
- This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.
Ideally you’d have:
- 5+ years of full-time engineering experience, post-graduation.
- 2+ years of prior engineering management or equivalent experience and previously managed an engineering team.
- Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
- Prior experience developing with Python and JavaScript, or other modern software languages.
- Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
- Linux experience: Understanding of shell scripting, operating systems, etc.
- Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus.
- Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
- Understand unique DoD and USG constraints when it comes to technology.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AISenior AI Infrastructure Engineer - Training Platform
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As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models.
The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.
You will:
- Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery.
- Design and implement scheduling primitives to optimize the lifecycle of training jobs.
- Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures
- Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability.
- Work closely with Finance and Procurement teams to drive our capacity planning process.
- Participate in our team’s on call process to ensure the availability of our services.
- Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.
Ideally you'd have:
- 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes).
- Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++)
- Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling.
- Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling.
- Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput
- Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware.
- Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
- Proven ability to solve complex problems and work independently in fast-moving environments.
Nice to haves:
- Experience with distributed training techniques such as DeepSpeed, FSDP, etc.
- Experience with the NVIDIA software and hardware stack (CUDA, NCCL)
- Experience with PyTorch
- Familiarity with post-training algorithms such as GRPO, and with Reinforcement Learning
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AISoftware Engineer, ARC Team
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Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments.
You will:
- Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
- Own services or systems and define their long-term health goals, while also improving the health of surrounding components.
- Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
- Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
- Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
- Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.
Must have:
- At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance
Ideally you'd have:
- Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
- Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
- Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
- Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
- Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
- Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AIMission Software Engineer, Public Sector
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Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.
You will:
- Work directly with customers to understand their problems and translate those into features in Scale’s platform.
- Be open to >50% travel or relocation to a key customer geographic location.
- Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
- Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
- Deploy and maintain Scale software at customer sites
- Develop customer requested features and work closely with them to ensure that they win customer love.
- Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
- Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
- This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.
Ideally you have:
- Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
- Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
- Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
- Linux experience: Understanding of shell scripting, operating systems, etc
- Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc)
- Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AISenior Software Engineer, Connectivity
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Senior Software Engineer, Platform — Connectivity
The Connectivity team owns the core platform that enables Scale to continuously generate, evaluate, and deliver high-quality training data to our customers. Our systems sit at the center of Scale’s data and AI infrastructure, powering large-scale workflows while supporting frontier AI capabilities such as multi-modality, long-horizon reasoning, and agentic behavior.
We’re looking for a senior engineer with deep experience building robust platforms, someone who brings strong architectural judgment, a bias toward correctness and reliability, and the ability to design systems that scale and evolve cleanly over time. This is a backend-heavy role with full-stack expectations and significant ownership from design through long-term operation.
What You’ll Do
- Design and own foundational platform systems that support scalable data generation, evaluation, and bespoke customer delivery across Scale’s ecosystem.
- Architect extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration.
- Build and operate distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency.
- Integrate with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns.
- Design and maintain data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads.
- Partner closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers.
- Lead multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments.
- Apply strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence.
- Raise the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience.
Ideal Experience
- 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms.
- Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases.
- Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments.
- Preferred: Experience integrating with public LLM APIs and designing systems that handle scale, reliability, latency, and cost tradeoffs.
Preferred: Experience building or operating data processing and transformation systems supporting complex workflows and evolving schemas.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMission Software Engineering Manager, Public Sector
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Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are looking for a Mission Software Engineering Manager to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.
You will:
- Recruit a high-performing engineering team.
- Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects.
- Collaborating with cross-functional teams to define, design, and execute strategic roadmap.
- Work directly with customers to understand their problems and translate those into features in Scale’s platform.
- Be open to ~25% travel or relocation to a key customer geographic location.
- Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
- Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
- Deploy and maintain Scale software at customer sites
- Develop customer requested features and work closely with them to ensure that they win customer love.
- Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
- Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
- This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.
Ideally you’d have:
- 5+ years of full-time engineering experience, post-graduation
- 2+ years of prior engineering management or equivalent experience and has managed an engineering team.
- Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
- Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
- Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
- Linux experience: Understanding of shell scripting, operating systems, etc
- Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc)
- Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
- Understand unique DoD and USG constraints when it comes to technology
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStaff Software Engineer, Full-Stack - Enterprise Gen AI
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Staff Software Engineer, Full-Stack - Enterprise Gen AI
Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences.
At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME’s Person of the Year AI experience (see it in action), where our AI technology helped shape one of the most iconic features in media. You'll also contribute to Scale’s GenAI Platform (SGP), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it’s developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you’ll play a crucial role in shaping how AI integrates into real-world applications.
You Will:
- Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
- Develop and refine features for Scale’s GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents
- Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
- Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
- Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure
- Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility
Ideally, You Have:
- 5+ years of experience developing frontend or fullstack applications in a modern tech stack
- Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces
- Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments
- A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms
- Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP
- A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life
This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you’re excited by the intersection of AI, frontend engineering, and product design, we’d love to hear from you.
The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400—$310,500 USD
. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISenior Software Engineer, Public Sector
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The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes:
- Create multi-layered guardrails around agents
- Optimize data retrieval for agents
- Orchestrate fleets of asynchronous agents
- Automatically alerts users to deviations in data
- Illustrating how an agent reached a decision
As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders.
You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.
- Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
- Direct the orchestration of asynchronous agent fleets to meet mission requirements.
- Lead customer engagements to translate mission needs into technical requirements.
- Own the communication with stakeholders to ensure implementation meets defined acceptance criteria.
- Conduct technical reviews and identify risks within machine learning infrastructure and model serving.
- Drive the platform roadmap by providing technical specifications for Federal product offerings.
Ideally you will have:
- Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
- Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
- Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
- AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
- Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
- Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISoftware Engineer, Enterprise AI
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Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.
You will:
- Own large new areas within our product
- Work across backend, frontend, and interacting with LLMs and ML models
- Deliver experiments at a high velocity and level of quality to engage our customers
- Work across the entire product lifecycle from conceptualization through production
- Be able, and willing, to multi-task and learn new technologies quickly
Ideally you'd have:
- 4+ years of full-time engineering experience, post-graduation
- Experience scaling products at hyper growth startups
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Python or Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStaff Software Engineer, Enterprise GenAI
Share this job
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.
You will:
- Own large new areas within our product
- Work across backend, frontend, and interacting with LLMs and ML models
- Deliver experiments at a high velocity and level of quality to engage our customers
- Work across the entire product lifecycle from conceptualization through production
- Be able, and willing, to multi-task and learn new technologies quickly
Ideally you'd have:
- 7+ years of full-time engineering experience, post-graduation
- Experience scaling products at hyper growth startups
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Python or Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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Apply to Scale AISoftware Engineer, Frontier AI Infrastructure
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Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing.
You will:
- Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
- Own services or systems and define their long-term health goals, while also improving the health of surrounding components
- Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
- You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream.
- Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
- Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.
Must have:
- At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance
Ideally you'd have:
- Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
- Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
- Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
- Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
- Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
- Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
- Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISenior AI Infrastructure Engineer, Model Serving Platform
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As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments.
The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.
You will:
- Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale.
- Build an internal platform to empower LLM capability discovery.
- Collaborate with researchers and engineers to integrate and optimize models for production and research use cases.
- Conduct architecture and design reviews to uphold best practices in system design and scalability.
- Develop monitoring and observability solutions to ensure system health and performance.
- Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment.
Ideally you'd have:
- 5+ years of experience building large-scale, high-performance backend systems.
- Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).
- Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.)
- Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc.
- Experience with containers and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
- Proven ability to solve complex problems and work independently in fast-moving environments.
Nice to haves:
- Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISenior Software Engineer, Full-Stack – Scale GP
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Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems.
You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment.
What You’ll Do
- Own major full-stack product areas, driving features from design through production deployment.
- Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness.
- Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.
- Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.
- Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.
- Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.
- Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack.
Ideal Experience
- 5+ years of full-time engineering experience, post-graduation.
- Strong experience developing full-stack applications using React, TypeScript, and Python.
- Experience scaling or shipping products at high-growth startups.
- Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).
- Proficiency with SQL and modern API development.
- Experience with Kubernetes, containerization, and microservice architectures.
- Experience working with at least one major cloud provider (AWS, GCP, or Azure).
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AI
Senior Associate, Claims and Benefits Specialist
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Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com.
An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including:
- Fortune Change the World (2024)
- CNBC Disruptor 50 List (2022, 2023, 2024)
- Fortune Best Workplaces for Millennials (2024)
- Fortune Best Workplaces in Health Care (2024)
- TIME 100 Most Influential Companies (2023)
- Fast Company Most Innovative Companies (2020, 2023)
- Built In Best Places to Work (2023)
- Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024)
- Great Place to Work certified (2020, 2021, 2022, 2023, 2024)
- Fast Company Best Workplaces for Innovators (2022)
- Built In LGBTQIA+ Advocacy Award (2022)
Role Overview
The Senior Associate, Claims and Benefits Analyst owns end-to-end member-level billing and reimbursement accuracy, corrections, and escalations. This is a senior operational role responsible for resolving complex billing discrepancies, conducting cross-system investigations, and safeguarding the integrity of cost-share calculations, claims processing, eligibility inputs, and reimbursement workflows.
This role requires advanced analytical rigor, strong systems fluency, and sound escalation judgment. You will partner closely with Payment Operations, Payment Integrity and QA, Engineering, Revenue Cycle Management, Member benefits and external TPAs to ensure billing precision, financial integrity, and member trust. We are looking for a systems-minded expert who can navigate complex resolutions while influencing broader process improvements.
Why This Role Matters
Claims and benefits accuracy directly impacts member trust and financial integrity. In this role, you will have full ownership over complex claims and benefits resolutions while influencing broader process and system improvements. Your work will drive measurable impact on both operational performance and member experience.
What You’ll Do
Own Complex Billing & Reimbursement Escalations
- Manage complex billing cases and reimbursement requests from intake through final resolution.
- Investigate discrepancies related to eligibility, prior authorization, cost-share (copay, deductible, out-of-pocket), accumulators, and denied claims.
- Conduct thorough reviews of reimbursement submissions to identify errors in processing and ensure correct payout amounts and methods.
- Ensure all corrections align with compliance standards, internal policies, and payer requirements.
Conduct Cross-System Investigations
- Analyze claims lifecycle data, eligibility feeds (RTE), accumulator logic, and backend billing workflows.
- Differentiate between one-off errors and systemic configuration or automation issues.
- Escalate infrastructure-level defects with clear documentation and impact analysis.
- Perform end-to-end review and resolution for complex member benefits and claims escalations.
- Engage with Maven members via Zendesk support tickets, emails, reimbursement processing, and other business channels as needed.
Partner Cross-Functionally
- Collaborate with Payment Operations, Revenue Cycle Management, Engineering, Finance, Member Benefits, and external TPAs.
- Serve as a primary point of contact for backend billing adjustments and payer coordination.
- Work with internal teams to provide clear and concise explanations of complex billing and benefits issues.
Improve Processes
- Identify recurring billing defects and operational risk trends.
- Recommend workflow or system improvements to reduce future escalations.
- Contribute to SOP refinement and billing integrity initiatives.
Communicate with Clarity
- Explain billing determinations, denials, and member financial responsibility in a clear, compliant, and empathetic manner.
- De-escalate sensitive disputes while maintaining financial accuracy and professional transparency.
What You Bring
- Experience: 4–5+ years in healthcare billing, claims operations, revenue cycle management, or benefits management.
- Domain Expertise: Deep understanding of claims adjudication, cost-share structures, eligibility verification, and accumulator logic.
- Analytical Rigor: Experience managing complex billing investigations across multiple systems and performing root-cause analysis.
- Systems Fluency: Familiarity with TPA platforms (e.g., Alegeus or similar billing/claims systems).
- Attention to Detail: High precision in reviewing reimbursement payouts and documenting technical discrepancies.
- Judgment: Ability to balance speed, accuracy, and sound escalation judgment in a high-volume, fast-paced environment.
Bonus:
- Specialized Knowledge: A strong understanding of benefits and fertility-specific insurance knowledge (e.g., cycle-based benefits, fertility medications, and specialized diagnostic coding).
- Proven track record of driving automation and workflow enhancements within claims operations and employer-sponsored benefit reimbursement programs.
- Previous experience in a high growth startup environment
The base salary range for this role is $98,000 - $107,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.
This role requires active work authorization in the US.
Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, or Seattle, WA, we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction.
Maven embraces a flexible and inclusive work environment. This role is open to candidates in: AZ, CA, CO, CT, DC, DE, FL, GA, HI, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NM, NV, NY, OH, OR, PA, RI, SC, TN, UT, VA, VT, WA, WI. Maven is committed to supporting remote team members with the tools and collaborative culture needed to thrive regardless of location. This policy reflects our belief that great work can happen anywhere and that flexibility enables our team to do their best work.
At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams.
Benefits That Work For You
Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits:
- Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics.
- Whole-self care through wellness partnerships
- Hybrid work, in office meals, and work together days
- 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+)
- Annual professional development stipend and access to a personal career coach through Maven for Mavens
- 401K matching for US-based employees, with immediate vesting
These benefits are applicable to Maven Clinic Co., US-based, full-time employees only. 1099/Contract Providers are ineligible for these benefits.
Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g jsmith@mavenclinic.com). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: security@mavenclinic.com. For general and additional inquiries, please contact us at careers@mavenclinic.com.
Ready to apply?
Apply to Maven Clinic
Who We Are
EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works.
EDO has offices in New York City, San Francisco, and Los Angeles.
We recognize the benefits of hybrid working and want to strike the right balance. For this role, we require three days per week in our NY office.
The Role
EDO is building the standard for measuring advertising effectiveness across TV and streaming. As a Backend Engineering Manager, you'll lead a team of 5 engineers building Ad EnGage, the data pipeline at the heart of that mission, processing petabytes of TV recordings and billions of rows of engagement data so advertisers can make critical decisions about their advertising strategy. You'll stay close to the code using a stack built on AWS, Python, Ruby, MySQL, and Snowflake, and work with the team to ensure the reliability and scale of the whole system.
What You Will Do
- Be a hands-on manager of a team of 5; act as a player-coach; stay close to the details of project work while supporting your team members as full owners, amplifying the impact of their work
- Lead cross-functional development of complex new features and capabilities, coordinating across the Data Science, Infrastructure, Front End, and Data Quality teams
- Elevate a team of driven engineers, mentoring them through their next phase of technical and professional growth
- Solve backend engineering challenges at the intersection of massive datasets, demanding product requirements, and the need for automation and scalability
- Drive high operational and data quality standards for our pipelines
- Recruit and evaluate backend engineers, including participating in technical interviews and making hiring decisions
What We Are Looking For
- A minimum of 6 years of software engineering experience, including at least 3 years of backend engineering experience and at least 2 years of experience leading teams
- A self-driven individual who eagerly takes ownership of projects and is comfortable wearing multiple hats
- Proven track record of shipping and scaling in fast-moving environments
- Strong track record hiring and growing an engineering team
- Someone who balances macro-level team leadership with hands-on mentorship in design and coding
- Excellent communication skills with both technical and non-technical audiences
- The ability to efficiently deliver good outcomes in open-ended situations with challenging engineering and business tradeoffs
- Strong knowledge of databases, SQL, cloud computing, and background job processing
- Previous industry experience working with TV or other advertising data is a plus
Compensation and Benefits
- EDO offers a competitive compensation package. Components of compensation include:
- Mid-stage equity and competitive salary
- Flexible Time Off
- Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
- 401(k) plan, FSA, HSA
- Commuter Benefits
- When in an office, employee meals, snacks, and more
In compliance with New York Pay Transparency Law, the salary range for this position is $190,000-$230,000. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, location, key skills, training, and business considerations.
Ready to apply?
Apply to EDOStaff Full Stack Engineer, Vertical Applications
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WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel.
THE ROLE
Our Vertical Applications team builds web applications that bring the power of ZMP to specific industries – Healthcare, Political, Retail, and more. Every vertical comes with its own fascinating challenges: unique compliance requirements, distinct data models, and workflows that genuinely matter to the people using them. It’s the kind of work where you get to learn new domains, solve real problems, and see your applications make a tangible impact.
You’ll own applications end-to-end: partner with product owners to define the problem, architect the backend, integrate with Zeta’s core platform, build the frontend, ship to production, and ensure operational excellence. We value clean, simple architectures, test-first development, and continuous delivery. AI-assisted development with tools like Cursor, Claude Code, Gemini and Codex is embedded in our everyday workflow, and we’re excited about what agentic engineering unlocks for both development velocity and software quality.
What You’ll Do
- Own vertical web applications from idea to production – working closely with product owners, designing the architecture, building it, shipping it, and running it.
- Architect backend services (Python, Java, Ruby, Node.js) with a focus on simplicity and reusability across verticals, so good patterns compound over time.
- Build polished frontend experiences in React/TypeScript/Ant Design System that connect seamlessly with backend APIs (REST, Thrift).
- Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start.
- Use AI-assisted development tools as a natural part of your workflow to move faster while keeping quality high.
- Weave AI/LLM capabilities into vertical applications, opening up new possibilities for each domain.
- Collaborate across teams – mentor fellow engineers, lead technical initiatives, and bring clarity to complex decisions for both technical and non-technical audiences.
What We’re Looking For
10+ years of software engineering with a history of owning and operating the systems you build. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. Continuous delivery, test-driven development, agile and shift-left are things you genuinely practice – not just checkboxes on a process document.
You’re comfortable building and operating scalable, distributed, high performant systems and navigating multi-tenant, compliant environments. You’re already using AI-assisted coding tools (Cursor, Claude Code, Gemini, Codex, or similar) and you’re curious about pushing those workflows further.
You’re a strong communicator who enjoys working directly with product owners, proposing architectures, building consensus across teams, and then making it happen. You’re energized by learning new domains and collaborating with people who care about their craft.
Nice to Have
- MarTech or AdTech experience (DSPs, bid stream processing, data-intensive platforms).
- Domain knowledge in Healthcare, Political, or Retail verticals.
Tech Stack
|
Backend |
Python, Java, Ruby, Node.js |
|
Frontend |
React, TypeScript, Ant Design System, Playwright |
|
APIs |
REST, Thrift |
|
Infrastructure |
AWS, Kubernetes (EKS), EC2, S3, API Gateway, SQS, Kafka, GitLab, Grafana, Loki, Honeycomb, Statsig Feature Flags |
|
Data |
MySQL, Redis, Snowflake, Aerospike, DynamoDB, ScyllaDB |
|
AI Tooling |
Cursor, Claude Code, Gemini, Codex, AI Skills, MCP, Agentic Teams |
|
Practices |
CI/CD, Spec driven development, TDD, Agile, You Build It You Run It |
Why You’ll Love It Here
- Interesting problems across diverse verticals – Healthcare, Political, Retail – on a platform processing trillions of consumer signals. You’ll never be bored.
- AI-native engineering culture – agentic development isn’t a side experiment, it’s how we build. You’ll be at the forefront of how software teams work in the future.
- Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it.
- Collaborative, low-ego team that genuinely enjoys working together and learning from each other.
- Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE
The salary range for this role is $200,000 - $220,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
#LI-YW1
Ready to apply?
Apply to Zeta GlobalQuant Library Developer, Macro Technology.
A Career with Point72’s TECHNOLOGY TEAM
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
- Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
- Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.
- Build real-time and historical analytics services supporting pricing, risk, and global market data workflows.
- Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.
- Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.
- Contribute to API design, data modeling, and system architecture for shared analytics platforms.
- Integrate analytics services with batch and streaming data pipelines across research and trading workflows.
- Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.
- Contribute to system reliability through testing, monitoring, and operational best practices.
- Participate in code reviews and technical discussions to improve design, performance, and maintainability.
What’s REQUIRED
- 3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).
- Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments .
- Strong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.
- Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.
- Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
- Solid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.
- Experience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.
- Awareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.
- Strong communication and collaboration skills, with the ability to work closely with investment professionals.
- Commitment to the highest ethical standards.
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $245,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Ready to apply?
Apply to Point72
Senior Fullstack Experiences Software Engineer
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Senior Fullstack Software Engineer - Experiences
Location: Soho, NYC / Remote
Department: Engineering
The Role
We’re looking for a Senior Fullstack Software Engineer to help architect, build, and scale the next generation of our Flowcode 2 Consumer Experiences. You will join our Experiences pod with a focus on creating amazing end user hub and landing page experiences that are dynamic and engaging. You’ll work across the stack — from contributing to backend services to building out dynamic end to end landing pages. Though this is a full stack position, we are looking for someone that has deep backend experience as well.
As one of the senior engineers on a small but highly capable team, you’ll own medium to large sized features, drive technical execution, contribute to a delivery focused environment, and mentor others. You’ll balance hands-on engineering with architectural thinking, helping us move fast while maintaining reliability, performance, and code quality.
This is an ideal role for a problem-solver who values simplicity over complexity, enjoys building dynamic and interactive applications and approaches engineering with pragmatism and curiosity.
What You’ll Do
- Design, build, and maintain scalable features across a modern front-end framework and backend services.
- With support, own key features end-to-end, from data design to user-facing experiences.
- Architect for growth — help drive your pods’s technical roadmap and shepherd established engineering best practices.
- Collaborate across teams with product, design, and data to deliver measure, deliver and grows features quickly and iteratively.
- Write clean, reliable, and maintainable code, with strong attention to performance, best practices and developer experience.
- Mentor engineers and help elevate technical execution across you pod.
- Stay pragmatic — balance ideal engineering with the realities of speed, customer needs, and startup resource constraints.
What We’re Looking For
- 5–7+ years of experience building and shipping production-quality software across the stack.
- Proficiency in at least one modern backend language (e.g., Go, Python, C#,, Java).
- Strong experience with React, Next.js, or other modern front-end frameworks. We use Svelte but any modern framework experience is welcome.
- Deep understanding of web architecture, API design, and data modeling in relational and/or NoSQL databases.
- Familiarity with cloud environments (AWS, GCP, or similar) and containerized deployment (Docker, Kubernetes).
- Commitment to code quality, with solid grounding in design patterns, testing, and CI/CD.
- Strong grasp of scalability and performance — able to make informed tradeoffs between speed and correctness.
- Excellent communication skills and a collaborative mindset.
- A builder’s mentality — comfortable taking initiative and owning outcomes from design through production.
Nice to Have
- Experience building consumer focused SaaS applications and experiences
- Experience with form based, dynamic applications with rich user generated content.
Flowcode is not for everyone. We hire with a pinhole lens — only those with the rare combination of intellectual horsepower, execution velocity, and uncompromising drive will thrive here. If you are seeking to operate at the highest levels of performance and impact, we want to meet you.
How to Apply
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The current range for this role is up to $200-$220k plus equity.
Ready to apply?
Apply to FlowcodeStaff Software Engineer - Platform
Location: Soho, NYC / Remote
Department: Engineering
The Role
We’re looking for a Staff Software Engineer to help grow and build the core platform that powers our Flowcode 2 application at scale. This role sits at the intersection of architecture, leadership, and pragmatic execution with a focus on creating and augmenting reliable, scalable, and extensible services and applications.
You’ll operate as a technical leader with in our Platform pod, growing platform capabilities, building new features and problem solving in a dynamic and challenging technical environment.. While this is a hands-on role, it requires a strong bias toward backend systems, distributed architecture and deep technical leadership. We value the ability to guide teams toward pragmatic, high-impact solutions.
This role is ideal for an engineer who values simplicity, correctness, and pragmatism, and who can balance long-term platform investments with immediate business needs.
What You’ll Do
- Own critical systems end-to-end, including design, implementation and deployment,
- Hands on designing, building, and maintaining scalable features across a modern front-end framework and backend services.
- Architect for growth — help drive your pods’s technical roadmap and shepherd established engineering best practices.
- Collaborate across teams with product, design, and data to deliver measure, deliver and grows features quickly and iteratively.
- Mentor and guide senior engineers, raising the bar for technical execution and system design across teams.
- Balance ideal engineering with the realities of speed, customer needs, and startup resource constraints.
- Drive improvements in observability, performance, and incident response
- Advocate for pragmatic solutions, solving the right problems with the appropriate level of complexity.
What We’re Looking For
- 8+ years of experience building and operating production-grade systems, with a strong backend focus.
- Deep expertise in building high-performance, concurrent services.
- Proven experience designing and scaling distributed systems and service-oriented architectures.
- Strong understanding of API design, data modeling, and consistency tradeoffs Experience with cloud infrastructure (AWS, GCP, or similar) and modern deployment patterns (Docker, Kubernetes).
- Proficiency in several modern backend language (e.g., Go, Python, C#,, Java).
- Commitment to code quality, with solid grounding in design patterns, testing, and CI/CD.
- Strong grasp of scalability and performance, able to make informed tradeoffs between speed and correctness.
- Excellent communication skills and a collaborative mindset.
- A builder’s mentality, comfortable taking initiative and owning outcomes from design through production.
- A history of working with in 20+ person engineering organizations and collaborating with Product and Design to enable feature delivery at a reasonable velocity
Flowcode is not for everyone. We hire with a pinhole lens — only those with the rare combination of intellectual horsepower, execution velocity, and uncompromising drive will thrive here. If you are seeking to operate at the highest levels of performance and impact, we want to meet you.
How to Apply
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The current range for this role is up to $280-$310k plus equity.
Ready to apply?
Apply to FlowcodeMongoDB is seeking a Senior Software Engineer to join the Atlas Clusters Platform team in NYC. The team is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The team develops software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all MongoDB customers.
We are looking to speak to candidates who are based in the NYC area and would like a hybrid or in-office working model.
What you’ll do
- Build and design new features for MongoDB Atlas
- Contribute to and lead complex technical projects
- Work with stakeholders throughout MongoDB to build our roadmap and product offerings
- Work with customers and support engineers to fix issues and become part of our on-call rotation
- Collaborate with team members to develop our codebase, best practices, and design principles
- Foster an inclusive and respectful work environment according to MongoDB's Core Values
We’re looking for someone who
- Has at least 6 years of professional software development experience
- Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.)
- Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
- Has led the launch of a new module and maintained it in production
- Is eager to solve tough problems
- Has excellent communication skills
- Is curious, collaborative, and motivated
Success Measures
- In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
- In 6 months, you'll have contributed to a large project and joined our on-call rotation
- In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
REQ ID: 2273430494
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
MongoDB is seeking a Software Engineer to join the Atlas Clusters Fleet Rollout Management team, entrusted with overseeing all software deployments to the Atlas Data Plane. Our core mission is to establish platform stability by owning the complete software lifecycle: encompassing pre-release validation, robust rollout mechanisms, customer configurability and observability, and proactive monitoring systems designed to swiftly detect and mitigate potential issues.
The Atlas Clusters organization is responsible for the core data plane services that power MongoDB Atlas, the leading multi-cloud database-as-a-service. As a Software Engineer on the team, you will be instrumental in building the next generation of cloud-agnostic, distributed systems that manage the lifecycle of our database clusters, ensuring high availability, performance, and security for millions of users worldwide.
We are looking to speak to candidates who are based in New York and would like a hybrid or in-office working model.
What you’ll do
- Build and design new features for MongoDB Atlas
- Contribute to and lead complex technical projects
- Work with stakeholders throughout MongoDB to build our roadmap and product offerings
- Work with customers and support engineers to fix issues and become part of our on-call rotation
- Collaborate with team members to develop our codebase, best practices, and design principles
- Foster an inclusive and respectful work environment according to MongoDB's Core Values
We’re looking for someone who
- Has at least 5 years of professional software development experience
- Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.).
- Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
- Has led the launch of a new critical feature and maintained it in production
- Is eager to solve tough problems
- Has some experience rolling out features to a large product with existing customers
- Has excellent communication skills
- Is curious, collaborative, and motivated
Success Measures
- In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
- In 6 months, you'll have contributed to a large project
- In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req. ID: 1273394194
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
MongoDB is seeking a senior software engineer to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB.
The Atlas Clusters Security team creates a first-in-class cloud database security experience for our wide range of sophisticated customers. Our team develops and maintains systems for cluster networking, data encryption, database authentication, and more–enabling countless mission critical applications across the world.
This role can be based in New York City for our hybrid working model, or remotely on the East Coast.
What you’ll do
- Build and design new features for MongoDB Atlas
- Contribute to and lead complex technical projects
- Work closely with product and design teams, considering the user’s perspective while building technical solutions
- Work with customers and support engineers to fix issues
- Collaborate with team members to develop our codebase, best practices, and design principles
- Learn from and mentor other team members
We’re looking for someone who
- Has at least 5 years of professional software development experience
- Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
- Is comfortable working across the stack of a modern web application (e.g. React, TypeScript)
- Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
- Has led the launch of a new module and maintained it in production
- Is eager to solve tough problems
- Has excellent communication skills
- Is curious, collaborative, and motivated
Special requirements
- Be a US Citizen
Success measures
- In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems
- In 6 months, you'll have contributed to a large project
- In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273368223
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB